RTS Labs vs Oxagile: full comparison for 2026
Last updated: July 2026
Quick verdict
RTS Labs (4.2/5) edges ahead of Oxagile (4.0/5) overall. RTS Labs is the better choice for mid-sized businesses in financial services or healthcare making their first serious investment in production ML. Oxagile is the stronger option for media, healthcare, and manufacturing enterprises needing production computer vision or video AI systems. The right choice depends on your project size, budget, and required tech stack.
RTS Labs vs Oxagile: head-to-head summary
| Criterion | RTS Labs | Oxagile |
|---|---|---|
| Founded | 2012 | 2005 |
| HQ | Richmond, VA, USA | Minsk, Belarus / Warsaw, Poland |
| Team size | 50–200 | 400+ |
| Rating | 4.2 / 5 | 4.0 / 5 |
| Best for | Mid-sized businesses in financial services or healthcare making their first serious investment in production ML | Media, healthcare, and manufacturing enterprises needing production computer vision or video AI systems |
| Pricing model | Fixed project, T&M | Fixed project, T&M, Dedicated team |
| Min. engagement | $25K | $25K |
| Primary tech stack | Python, AWS, Azure | Python, TensorFlow, PyTorch |
| Industries served | Financial Services / Fintech, Healthcare, Technology / SaaS, Logistics | Media / Entertainment, Healthcare, Manufacturing, Technology / SaaS, Logistics |
RTS Labs vs Oxagile: overview
RTS Labs
RTS Labs is a Virginia-based applied AI and data consultancy founded in 2012, recognised in 2026 as the top machine learning consultant in the United States for mid-sized businesses by multiple industry ranking platforms. The company focuses on building custom ML models and data pipelines specifically for financial services and healthcare clients, with an emphasis on delivering AI tools and analytics that help mid-market organisations compete against larger rivals with dedicated data science teams. RTS Labs covers AI agents, custom model development, data engineering, and AI readiness assessments, positioning itself as an accessible entry point for organisations that are beginning to operationalise ML.
Oxagile
Oxagile was founded in 2005 and operates with primary delivery centres in Minsk, Belarus, and Warsaw, Poland, employing 400+ professionals. The company's AI practice centres on computer vision, LLM integration, ML-supported content analysis, and video processing — capabilities that stem from its long heritage in media technology and video infrastructure for broadcasters and OTT platforms. Oxagile's computer vision work spans automated content moderation for media companies, visual quality inspection for manufacturing, and AI-assisted diagnostics for healthcare, making it one of the more vertically diverse computer vision specialists in this review.
Services and capabilities: RTS Labs vs Oxagile
| Capability | RTS Labs | Oxagile |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Deep learning | ✗ | ✗ |
| NLP / Text analytics | ✗ | ✓ |
| Computer vision | ✗ | ✓ |
| MLOps & deployment | ✗ | ✓ |
| Generative AI | ✓ | ✓ |
| AI strategy | ✓ | ✗ |
| Staff augmentation | ✗ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✗ | ✓ |
Tech stack comparison: RTS Labs vs Oxagile
| Framework / platform | RTS Labs | Oxagile |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | N/A | ✓ |
| AWS | ✓ | ✓ |
| Kubernetes | N/A | ✓ |
| Databricks | N/A | N/A |
| MLflow | N/A | N/A |
Pricing comparison: RTS Labs vs Oxagile
| Criterion | RTS Labs | Oxagile |
|---|---|---|
| Minimum engagement | $25K | $25K |
| Engagement models | Fixed project, Time & materials | Fixed project, Time & materials, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: RTS Labs vs Oxagile
| Dimension | RTS Labs | Oxagile |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial Services / Fintech, Healthcare, Technology / SaaS | Media / Entertainment, Healthcare, Manufacturing |
| Best use cases | AI readiness assessment and ML roadmap for mid-market organisations beginning their data science journey, Custom credit scoring or underwriting ML models for community banks and fintech startups | Automated video content moderation and compliance tagging for OTT and broadcast platforms, Computer vision quality inspection systems for manufacturing production lines |
| Typical project type | Fixed project | Fixed project |
RTS Labs vs Oxagile: pros and cons
| RTS Labs | |
|---|---|
| + | Named top US ML consultant for mid-sized businesses in 2026 by multiple ranking platforms |
| + | US-based delivery ensures timezone alignment and regulatory familiarity for healthcare and BFSI clients |
| + | AI readiness assessment service provides a structured low-risk entry point before committing to full build |
| + | Accessible $25K minimum enables mid-market organisations to start without enterprise-level investment |
| + | Domain depth in financial services and healthcare reduces onboarding time on regulated-industry projects |
| - | Smaller team limits depth for complex simultaneous engagements or very large data infrastructure builds |
| - | US-only delivery means higher blended rates than Eastern European or Indian competitors at equivalent quality |
| - | Less portfolio breadth outside financial services and healthcare compared to generalist firms |
| Oxagile | |
|---|---|
| + | 20-year computer vision heritage provides production-grade depth in a capability most generalists offer only superficially |
| + | Video AI and content analysis capability is particularly strong — directly transferable to media and broadcast clients |
| + | Dual delivery centre model (Minsk + Warsaw) provides redundancy and EU data processing alignment via Warsaw |
| + | Full project lifecycle from CV prototype through production deployment and monitoring |
| + | Competitive rates relative to Western European firms of equivalent computer vision depth |
| - | Minsk-based delivery introduces political and banking risk for some Western European and North American clients |
| - | Core strength is computer vision and media AI; pure NLP or tabular ML projects may receive less specialised teams |
| - | Less established for cloud-native MLOps and generative AI relative to newer AI-native firms |
Who should choose RTS Labs?
RTS Labs is the right choice for mid-sized businesses in financial services or healthcare making their first serious investment in production ML.
Named top US ML consultant for mid-market businesses in 2026 — focused entry point with accessible minimums and healthcare/fintech domain depth. Minimum engagement starts at $25K. Works best with clients in Financial Services / Fintech, Healthcare, Technology / SaaS, Logistics.
Who should choose Oxagile?
Oxagile is the right choice for media, healthcare, and manufacturing enterprises needing production computer vision or video AI systems.
20-year heritage in video technology and media AI translates directly into best-in-class computer vision delivery for media, broadcast, and content platforms. Minimum engagement starts at $25K. Works best with clients in Media / Entertainment, Healthcare, Manufacturing, Technology / SaaS, Logistics.
Decision matrix: RTS Labs vs Oxagile
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | RTS Labs |
| You need a large dedicated team for an ongoing programme | Oxagile |
| Your budget is at the lower end | RTS Labs |
| You need specialist depth in a specific vertical | Oxagile |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: RTS Labs vs Oxagile
| Use case | RTS Labs fit | Oxagile fit | Winner |
|---|---|---|---|
| AI readiness assessment and ML roadmap for mid-market organisations beginning their data science journey | Strong | Strong | Both equally |
| Custom credit scoring or underwriting ML models for community banks and fintech startups | Strong | Limited | RTS Labs |
| Automated video content moderation and compliance tagging for OTT and broadcast platforms | Limited | Strong | Oxagile |
| Computer vision quality inspection systems for manufacturing production lines | Limited | Strong | Oxagile |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: RTS Labs vs Oxagile
RTS Labs (4.2/5) is the stronger overall choice for most Machine Learning projects. Named top US ML consultant for mid-market businesses in 2026 — focused entry point with accessible minimums and healthcare/fintech domain depth. It is best for mid-sized businesses in financial services or healthcare making their first serious investment in production ML.
Oxagile (4.0/5) is the better choice when media, healthcare, and manufacturing enterprises needing production computer vision or video AI systems. If your situation matches those criteria, Oxagile is a competitive option.
Related comparisons
RTS Labs vs Oxagile FAQ
Is RTS Labs better than Oxagile?
RTS Labs (4.2/5) scores higher overall, but "better" depends on your use case. RTS Labs is better for mid-sized businesses in financial services or healthcare making their first serious investment in production ML. Oxagile is better for media, healthcare, and manufacturing enterprises needing production computer vision or video AI systems.
How do RTS Labs and Oxagile differ in pricing?
RTS Labs uses fixed project, t&m pricing with a minimum engagement of $25K. Oxagile uses fixed project, t&m, dedicated team pricing with a minimum engagement of $25K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: RTS Labs or Oxagile?
RTS Labs is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between RTS Labs and Oxagile?
RTS Labs's primary differentiator is: named top us ml consultant for mid-market businesses in 2026 — focused entry point with accessible minimums and healthcare/fintech domain depth. Oxagile's primary differentiator is: 20-year heritage in video technology and media ai translates directly into best-in-class computer vision delivery for media, broadcast, and content platforms. They also differ in team size (50–200 vs 400+), minimum engagement ($25K vs $25K), and primary industries served (Financial Services / Fintech, Healthcare vs Media / Entertainment, Healthcare).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.